Research Article
PCG Classification Using Multidomain Features and SVM Classifier
Table 8
Summary of the proposed features.
| Index | Domain | Num. of features | Motivation |
| 1 | Time interval | 20 | The time interval of each state has physiological meaning based on heart physiology. | 2 | Frequency spectrum of state | 308 | To reflect the frequency spectrum within state. | 3 | State amplitude | 12 | The amplitude is related to the heart hemodynamics. | 4 | Energy | 47 | To reflect energy distribution with respect to frequency band | 5 | Frequency spectrum of records | 27 | To reflect frequency spectrum within records | 6 | Cepstrum | 65 | To reflect the acoustic properties. | 7 | Cyclostationary | 4 | To reflect the degree of signal repetition. | 8 | High-order statistics | 16 | To reflect the skewness and kurtosis of each signal state. | 9 | Entropy | 16 | To reflect the PCG signal inherent complexity. | Total | -ā- | 515 | -ā- |
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